π― Data Science & Analytics Professional
π Based in Visakhapatnam, India | π Open to Remote / WFH Roles
π§ 3+ years in Data Science | πΌ 23+ years total experience across finance, real estate, and operations
- Languages & Libraries: Python, pandas, NumPy, scikit-learn, matplotlib, seaborn
- Techniques: Exploratory Data Analysis (EDA), Regression, Classification, Feature Engineering
- Tools: Excel, Power BI, Git, Kaggle Notebooks
- Domains: Capital Markets, Insurance, Real Estate, Data Analytics
π Predict Podcast Listening Time
π₯ Bronze Medal β Time-series regression, feature engineering, and model tuning
π Santa 2024 β Puzzle Challenge
π₯ Bronze Medal β Solved a language-model word permutation problem
π AP Elections 2024 - EDA
Exploratory data analysis of voter turnout and party-wise performance in Andhra Pradesh
π ICC Men's T20 World Cup - EDA
Data-driven insights on team performance and winning factors using Python visualization
π Titanic Survival Prediction
Logistic regression and decision trees with 80%+ accuracy
π Download My Resume (PDF) (Upload it to a resume repo if not done yet)
- π LinkedIn
- π§ Kaggle
- π§ Email: tasrinivass@gmail.com
βTransforming business knowledge into data-driven decisions through AI/ML.β